安徽农业科学2018，Vol.46Issue(1)：189-191,209,4.
基于神经网络遗传算法的湿度测量系统研究
Study on Humidity Measurement System Based on Neural Network and Genetic Algorithm
摘要
Abstract
On the basis of studying the principle of humidity measurement and control,a humidity measurement system based on neural network and genetic algorithm was designed.In this system,DHT11 humidity sensor was used,and the humidity measurement method was optimized by using an improved neural network and genetic algorithm.The test results showed that the humidity could be controlled in the accuracy of 1.6 × 10-2 by using this system,which enhanced the humidity measurement accuracy greatly.Moreover,the humidity measurement based on this system had good robustness and self-adaptability.关键词
湿度测量/B-P神经网络/遗传算法Key words
Humidity measurement/B-P neural network/Genetic algorithm分类
农业科技引用本文复制引用
杭潇,闫玉磊,张铎,王雅琴..基于神经网络遗传算法的湿度测量系统研究[J].安徽农业科学,2018,46(1):189-191,209,4.基金项目
国家新农村建设测绘保障服务示范项目. （）
